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1 # Anomaly Analysis
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3 Get a forensics‑grade explanation of unusual behavior. The Anomaly Analysis report correlates ML‑detected anomalies across nodes and metrics, reconstructs the timeline, and proposes likely root causes with supporting evidence.
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5 ![Anomaly Analysis tab](https://raw.githubusercontent.com/netdata/docs-images/refs/heads/master/netdata-cloud/netdata-ai/anomaly-analysis.png)
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7 ## When to use it
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9 - Post‑incident analysis and RCA preparation
10 - Investigating “what changed here?” on a chart or service
11 - Validating whether anomalies were symptoms or causes
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13 ## How to generate
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15 1. In Netdata Cloud, open `Insights`
16 2. Select `Anomaly Analysis`
17 3. Choose the time window around the event of interest
18 4. Scope to affected services/nodes if known
19 5. Click `Generate`
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21 ## What’s analyzed
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23 - Agent‑side ML anomaly scores (every metric, every second)
24 - Temporal propagation of anomalies across metrics/services
25 - Correlations with alerts, deployments, and configuration changes
26 - Cross‑node relationships and influence chains
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28 ## What you get
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30 - Narrative of how the incident unfolded
31 - Ranked list of likely root causes vs. downstream effects
32 - Key correlated signals and “why this matters” notes
33 - Recommendations to prevent recurrence
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35 ![Anomaly Analysis report example](https://raw.githubusercontent.com/netdata/docs-images/refs/heads/master/netdata-cloud/netdata-ai/anomaly-analysis-report.png)
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37 ## Example: “What changed here?”
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39 Point the report at a suspicious time window and let it reconstruct the change: which metrics shifted first, where anomalies clustered, and which changes correlate strongly with the observed behavior.
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41 ## Related tools
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43 - Use the `Anomaly Advisor` tab for interactive exploration
44 - Combine with `Metric Correlations` to focus the search space
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46 ## Availability and usage
47
48 - Available on Business and Free Trial plans
49 - Each report consumes 1 AI credit (10 free per month on eligible plans)
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